FRDT Footprint Resource Discovery Tree for grids

被引:17
作者
Khanli, Leyli Mohammad [1 ]
Kargar, Saeed [2 ]
机构
[1] Univ Tabriz, Cs Dept, Dept Comp Sci, Tabriz, Iran
[2] Tabriz Azad Univ, Tabriz, Iran
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2011年 / 27卷 / 02期
关键词
Grid; Resource discovery; Weighted tree;
D O I
10.1016/j.future.2010.08.002
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Today with the development of grid environments and an increased number of resources and geographical distribution finding a resource discovery algorithm that can provide a user s required resources in a short time with low traffic is an Important task in resource discovery Although recently developed approaches remove many of the defects of previous methods such as single points of failure and heavy loads as well as significantly improving the system efficiency a user s query is again sent to unnecessary paths so regarding the large number of nodes in grid environments the system efficiency is reduced due to this additional traffic In this paper we propose a new algorithm and its use of a weighted tree for resource discovery We use a bitmap where the number of bit positions is proportional to the number of attributes for each resource Actually in every node of the tree there will be a footprint of existence resources in children and the descendant of that node so when the user s request reaches each node if the requested resources are available in its children or the descendant we can directly and without referring to extra nodes and unnecessary traffic reach the node which owns the required resource We compare our algorithm with previous algorithms using simulations and results and show that the number of nodes visited in our resource discovery algorithm is less than that for other algorithms and the difference would be significant with an increase in the number of nodes Also the cost of update in our proposed algorithm is low (C) 2010 Elsevier B V All rights reserved
引用
收藏
页码:148 / 156
页数:9
相关论文
共 37 条
[1]  
ALDMOUR NA, 2005, PARALLEL DISTRIBUTED
[2]  
[Anonymous], 2004, P ACM SIGCOMM
[3]  
Basu S., 2005, 5 INT WORKSH GLOB PE
[4]  
BERMAN F, 2003, TPDS, V14
[5]  
Cai M., 2007, P IPDPS
[6]   A resource discovery tree using bitmap for grids [J].
Chang, Ruay-Shiung ;
Hu, Min-Shuo .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2010, 26 (01) :29-37
[7]  
Chien A., 2003, J PARALLEL DISTRIB C, V63
[8]  
DATTA KA, 2005, P 18 IEEE CAN C EL C
[9]   Globus: A metacomputing infrastructure toolkit [J].
Foster, I ;
Kesselman, C .
INTERNATIONAL JOURNAL OF SUPERCOMPUTER APPLICATIONS AND HIGH PERFORMANCE COMPUTING, 1997, 11 (02) :115-128
[10]  
Foster I., 2003, BLUEPRINT NEW COMPUT